Abstract
Increased development in structural data created new technological challenges in department of research in big data and relational database. In recent survey the submission of efficient system in maintaining and analyzing PB level structured data is otherwise said to be Banian. Storage structure limits in relational database has been crossed higher level compared storage structure. It effectively integrates interactive query was in a higher scale in the storage management . It has a same query interface to the cross platform dataset . It has two importance such as compatibility and scalability . The important stages in the Banian system architecture are: (1) Storage layer with help of HDFS for the massive data where storage is distributed; (2) for parallel database using splitting and scheduling technology we can perform scheduling and execution layer; (3) standard SQL provides cross platform query interface for application layer. Query optimization to a higher range 30times improved in Banian. To provide and enhance the performance and parallel execution.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call